In this study, factor analysis of the screening variables, the use of ANFIS as a research method, based Artificial Neural Networks, and Artificial Neural Networks (ANN), compared to view the features and accuracy of both the pros and cons. The results showed that: ANN accuracy rate of 89.49% on ANFIS correct rate of 93.94% on ANFIS correct rate was significantly higher than that of ANN, said the feasibility and effectiveness of the ANFIS prediction of corporate financial crisis is good compared to ANN.
Index Terms—Adaptive neuro fuzzy inference system, neural networks, the financial crisis.
The author is with the School of Computer, Wuhan University, Hubei China (e-mail: firstname.lastname@example.org)
Cite: Hui Fang,"Adaptive Neurofuzzy Inference System in the Application of the Financial Crisis Forecast," International Journal of Innovation, Management and Technology vol. 3, no. 3, pp. 250-254, 2012.